Potentiate Social Inclusion through Detecting Illegal Parking in Places for Disabled People

Carlos Carvalho, Sara Paiva
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引用次数: 1

Abstract

This article describes how social responsibility and social inclusion are matters that are on the agenda world-wide. Social exclusion exists at various levels and in this article, the authors address the illegal parking at places reserved for disabled people. They developed a prototype that allows, through a backend, a camera and a smartphone, to geo-reference parking spaces for disabled people in an entity (such as a school, shopping mall or any parking lot) and be advised when someone parks in that place and did not have a parking license. This required the development of a backend and a system that allows it to notify the appropriate responder whenever an illegal parking takes place. To detect parked cars, the authors use an IP Camera that captures photos every 3 minutes and send it to a cron job to be processed with the OpenALPR API that can recognize Portuguese, Spanish, Swiss, and French license plates. From this present framework, all tests allowed the authors to conclude the best location for cameras and the adjustments that were needed to avoid false positives.
通过发现残疾人场所的非法停车,加强社会包容
本文描述了社会责任和社会包容如何成为全球议程上的事项。社会排斥存在于各个层面,在本文中,作者讨论了残疾人专用场所的非法停车问题。他们开发了一个原型,通过后端摄像头和智能手机,可以在一个实体(如学校、购物中心或任何停车场)中为残疾人提供地理参考停车位,并在有人没有停车许可证的情况下在那个地方停车时得到建议。这需要开发一个后端和一个系统,使其能够在发生非法停车时通知相应的响应人员。为了检测停着的汽车,作者使用了一个IP摄像头,每3分钟拍摄一张照片,并将其发送给一个cron作业,由OpenALPR API处理,该API可以识别葡萄牙、西班牙、瑞士和法国的车牌。根据目前的框架,所有测试都使作者能够得出摄像机的最佳位置和避免误报所需的调整。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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